Cheng Hu

698 citations
28 papers · 412 · h-index 12

Impact in

Papers in

Cheng Hu

26 papers receiving 406 citations

Peers

Cheng Hu
Comparison fields: 5 of 67
  • Cognitive Neuroscience 125
  • Cellular and Molecular Neuroscience 117
  • Computer Vision and Pattern Recognition 94
  • Aerospace Engineering 74
  • Biophysics 13
Replace Mario I. Chacón-Murguía with:
Mario I. Chacón-Murguía Mexico
Juan P. Dominguez‐Morales Spain
Yatindra Kumar India
F. Javier Toledo Spain
Matthew Luciw Switzerland
Paolo Motto Ros Italy
Marco Guermandi Italy
G. Gritsch Austria
Rahul Upadhyay India
Cheng Hu relative to Mario I. Chacón-Murguía Mexico Mario I. Chacón-Murguía's profile →
Citations per field
00.5×3.9×
Mario I. Chacón-Murguía · 1×
Citations per year

Countries citing papers authored by Cheng Hu

Since Specialization
Citations

This map shows the geographic impact of Cheng Hu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cheng Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Hu more than expected).

Fields of papers citing papers by Cheng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng Hu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cheng Hu. The network helps show where Cheng Hu may publish in the future.

Co-authors

The 25 scholars most cited alongside Cheng Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cheng Hu Line = papers co-authored together Cheng Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 201947
3 201944
4 199739
5 201836
6 201723
7 202121
8 201621
9 199417
10 202217
11 201816
12 201911
13 201911
14 201410
15 20189
16 20219
17 20188
18 20216
19 20205
20 20214

About Cheng Hu

Cheng Hu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Mechanical Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 28 papers that have together received 412 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Modular Robots and Swarm Intelligence (6 papers), Neurobiology and Insect Physiology Research (6 papers), CCD and CMOS Imaging Sensors (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Neural dynamics and brain function (5 papers), Insect Pheromone Research and Control (3 papers) and Infrared Target Detection Methodologies (3 papers). The work is most often cited by research in Cognitive Neuroscience (125 citations), Cellular and Molecular Neuroscience (117 citations), Computer Vision and Pattern Recognition (94 citations), Aerospace Engineering (74 citations) and Biophysics (13 citations). Cheng Hu has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Shigang Yue, Qinbing Fu, Hsing I. Chen, Hongxin Wang, Farshad Arvin, Jigen Peng, Caihua Xiong, F. Claire Rind, Jigen Peng and Tian Liu. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Access, Frontiers in Neurorobotics, American Journal of Physiology-Heart and Circulatory Physiology and Pflügers Archiv - European Journal of Physiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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